Principal Analytics Engineer
$151,800–$227,700 year
On-site · Boston, Massachusetts, United States
Job Summary
Principal Analytics Engineer to shape marketing data transformation, modeling, and analytics-ready data products across the enterprise. Lead enterprise analytics modeling standards, semantic layer design, and a common marketing taxonomy/metric framework. Architect scalable data transformation frameworks (DBT, Databricks) ingesting data from major advertising platforms (Google, YouTube, Meta/Facebook, Instagram, TikTok) and ensure accurate, consistent reporting. Mentor analytics engineers, drive data quality and lineage, collaborate with data engineering and marketing teams to align upstream ingestion with downstream reporting, and influence technical direction in a matrixed environment.
Required Qualifications
- Experience shaping and implementing analytics engineering practices and standards for marketing or digital advertising data
- Strong hands-on experience with APIs from major advertising platforms (e.g., Google Ads, Meta, TikTok)
- Deep understanding of platform-specific metrics and definitions across ecosystems
- Experience contributing to common taxonomies, metric frameworks, and naming conventions across multiple data sources
- Expertise in SQL, DBT, and Databricks, and cloud platforms such as Azure and/or AWS
- Proficiency in Python or similar language for transformation and API interaction
- Advanced knowledge of dimensional modeling, semantic layer architecture, and data warehousing standards
- Experience implementing data quality frameworks, validation processes, and documentation standards at scale
- Ability to operate at both strategic and hands-on levels, influencing architecture while contributing to key implementations
- Strong communication and influence skills to align teams and drive outcomes without direct authority
- Experience supporting advanced analytics or AI-enabled marketing use cases is a plus
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